Prime Intellect's @xeophon explains why models reward hack: "Models are trained to push as hard as possible. In some cases, like what we've seen from OpenAI, the goal is basically impossible to reach, so models get creative and find ways around it." "For cybersecurity domains, there's a really fine line between the setup researchers use and the infrastructure running the eval. The model can't decide what's within limits vs off limits, so they just go around trying to solve the…